AI? Machine Learning? Deep Learning?

Is the world finally approaching the dawn of human like robots being much more smarter than the average human being?

Well, of course our technology means haven't advanced to a point where we literally have AI machines as the size of our mobile devices such as laptops and smart phones, as AI is done by super-computers which occupy quite the space in a server room (imagine your average bedroom, but x3 the size, lol but I don’t know where you live anyway) Such a services requires heavy computing power which consists of various hardware components such as GPUs, CPUs and cooling solutions. BUUUTTT, ofcourse big cooperate companies like Samsung, Google etc, had to get the idea into customers hands as soon as it was made possible. How? Cloud computing is your answer. (My next blog topic)

What is AI?

Basically that new fancy tech, several IT companies are trying to sell you sell you in.

AI is basically complex computational model of processing of raw data, and trying to translate it into a form of how a human interprets the idea associated with the idea to create an action. As complex as it would seem, look at AI as set, of several subsets of existing normal day to day human reactions to certain conditions. Essentially, it is actions performed traditional as a human task, but being feed into a computer as training purposes. The machine will understand the pattern a 1000x better than a human if given the chance to learn the condition very well, providing better efficiency and terminates most forms of human errors,

In depth, Artificial Intelligence would be defined as a non-human form of logical creation of solutions, made possible through training various scripts that may exist within a computers algorithm to at least trying to mimic how a human would sense, process and deal with the situation present.

AI subsets Illustrated (Chikowe, 2024)

AI is a main branch of various forms of Machine Learning and Deep Learning, as illustrated in the diagram above as sets.

Artificial intelligence as described above, has the capability of trying to give solutions to presented problems. Machine learning incooperates the use of remembering code and sticking to the given resolution and trained to understand that through repetitive training. Deep learning stems of more as an idea of the capability learning patterns, and in cooperating bias in certain forms of data that would have been misinterpreted and try correct it by understanding common mistakes.

This form of technology is adaptable in various sectors of processing industries and even day to day forms of creativity

In the most common form, AI has been used to solve problems, create various codes and ideal informative solustions on requested knowledge existing within various industries. Companies have adopted AI in forms of solutions to day to day issues that require resolutions such as through chatbots, quality control inspection over products, automated system checks and several more products that help the growth in an organization

Question is, which one suits you the most?